Functional Characterization of High Levels of Meningioma 1 As Collaborating Oncogene in Acute Leukemia
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UNIVERSITY of CALIFORNIA Los Angeles
UNIVERSITY OF CALIFORNIA Los Angeles Dissecting transcriptional control by Klf4 in somatic cell reprogramming A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Biological Chemistry by Huajun Zhou 2017 ABSTRACT OF THE DISSERTATION Dissecting transcriptional control by Klf4 in somatic cell reprogramming by Huajun Zhou Doctor of Philosophy in Biological Chemistry University of California, Los Angeles, 2017 Professor Gregory S. Payne, Chair Ectopic expression of four transcription factors, Oct4, Sox2, Klf4, and c-Myc, coverts somatic cells directly into induced pluripotent stem cells (iPSCs), which are functionally equivalent to embryonic stem cells (ESCs). The discovery of iPSC has been reshaping the methodology of disease modeling and drug screening in the past decade, and provides tremendous promise for regenerative medicine. However, the mechanism underlying this conversion process, reprogramming, is not yet fully understood. I aimed to dissect the reprogramming process, by characterizing the functional domains of one reprogramming factor Klf4. The transcriptional activation domain (TAD) of Klf4 was revealed to be critical for reprogramming. To search for the factors that mediates the functionality of Klf4 TAD, I identified transcriptional coactivators CBP/p300 and Mediator complex as the physical interaction partners of Klf4 TAD, and further showed that this interaction is functionally required ii for Klf4 mediated transcriptional activation in reprograming. Clathrin heavy chain, initially identified as a physical interaction partner of Klf4 TAD, was shown to be not required for Klf4 transcriptional activation. Clathrin heavy chain was furthered characterized for its potential transcriptional activation activity in CHC-TFE3, a chromosomal fusion discovered in renal cell carcinoma. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Benefits of Cancerplex
CancerPlexSM is a comprehensive genetic assessment of a patient’s tumor that guides oncologists towards effective treatment options. What is CancerPlex? CancerPlex is a next generation DNA sequencing test for solid SM tumors. The specific coding regions of over 400 known cancer Potential outcomes from CancerPlex genes are simultaneously determined using a small amount of Identification of variants associated with response or resis- DNA extracted from tumor samples, including formalin-fixed, tance to an FDA-approved therapy for the patient’s disease. paraffin-embedded (FFPE) tissue and cell blocks from fine-needle aspirates or effusions. This analysis is performed in a single assay, Identification of variants associated with response or resis- simplifying and streamlining the test ordering process, and eliminat- tance to a therapy associated with another clinical indication. ing time consuming serial testing. Clinically actionable information unique to each patient’s tumor is consolidated into a simple report. Identification of variants associated with a therapy(s) in CancerPlex reveals missense changes, insertions and deletions, clinical development. and previously described rearrangements of ALK, RET, and ROS. Benefits of CancerPlex: CancerPlex genes were selected because of their importance in tumor The average turn-around-time for CancerPlex is under 10 biology. Analyzing more genes increases the chance of discovering business days, dramatically shortening the waiting period for actionable findings that lead to more choices for treatment. Our initial the start of treatment. results indicate that CancerPlex analysis identifies actionable findings up to 20% more frequently than previously published studies. CancerPlex ordering is simple: KEW provides all necessary shipping materials, can facilitate tissue retrieval and return with Since knowledge of tumor biology changes rapidly, CancerPlex pathologists, and manages 3rd party payment for the test. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Intrinsically Disordered Meningioma-1 Stabilizes the BAF Complex to Cause AML
Article Intrinsically disordered Meningioma-1 stabilizes the BAF complex to cause AML Graphical abstract Authors Simone S. Riedel, Congcong Lu, Hongbo M. Xie, ..., Gerd A. Blobel, Benjamin A. Garcia, Kathrin M. Bernt Correspondence [email protected] In brief Meningioma-1 (MN1) translocations result in overexpression of MN1 through enhancer hijacking, or expression of an MN1 fusion protein. MN1 is an intrinsically disordered polyQ protein. MN1 overexpression is sufficient to cause malignant transformation via over- stabilization of the BAF complex at critical enhancers. Highlights d MN1 translocations in AML result in MN1 overexpression due to enhancer hijacking d MN1 interacts with the myeloid progenitor BAF complex d MN1 over-stabilizes the BAF complex at critical enhancers d Overexpression of the polyQ protein MN1 is sufficient to cause AML Riedel et al., 2021, Molecular Cell 81, 1–17 June 3, 2021 ª 2021 Elsevier Inc. https://doi.org/10.1016/j.molcel.2021.04.014 ll Please cite this article in press as: Riedel et al., Intrinsically disordered Meningioma-1 stabilizes the BAF complex to cause AML, Molecular Cell (2021), https://doi.org/10.1016/j.molcel.2021.04.014 ll Article Intrinsically disordered Meningioma-1 stabilizes the BAF complex to cause AML Simone S. Riedel,1 Congcong Lu,2 Hongbo M. Xie,3 Kevin Nestler,1 Marit W. Vermunt,4 Alexandra Lenard,1 Laura Bennett,5 Nancy A. Speck,5 Ichiro Hanamura,6 Julie A. Lessard,7 Gerd A. Blobel,4,8 Benjamin A. Garcia,2 and Kathrin M. Bernt1,8,9,* 1Division of Pediatric Oncology, Children’s Hospital -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Metastatic Adrenocortical Carcinoma Displays Higher Mutation Rate and Tumor Heterogeneity Than Primary Tumors
ARTICLE DOI: 10.1038/s41467-018-06366-z OPEN Metastatic adrenocortical carcinoma displays higher mutation rate and tumor heterogeneity than primary tumors Sudheer Kumar Gara1, Justin Lack2, Lisa Zhang1, Emerson Harris1, Margaret Cam2 & Electron Kebebew1,3 Adrenocortical cancer (ACC) is a rare cancer with poor prognosis and high mortality due to metastatic disease. All reported genetic alterations have been in primary ACC, and it is 1234567890():,; unknown if there is molecular heterogeneity in ACC. Here, we report the genetic changes associated with metastatic ACC compared to primary ACCs and tumor heterogeneity. We performed whole-exome sequencing of 33 metastatic tumors. The overall mutation rate (per megabase) in metastatic tumors was 2.8-fold higher than primary ACC tumor samples. We found tumor heterogeneity among different metastatic sites in ACC and discovered recurrent mutations in several novel genes. We observed 37–57% overlap in genes that are mutated among different metastatic sites within the same patient. We also identified new therapeutic targets in recurrent and metastatic ACC not previously described in primary ACCs. 1 Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 2 Center for Cancer Research, Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 3 Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA 94305, USA. Correspondence and requests for materials should be addressed to E.K. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:4172 | DOI: 10.1038/s41467-018-06366-z | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-06366-z drenocortical carcinoma (ACC) is a rare malignancy with types including primary ACC from the TCGA to understand our A0.7–2 cases per million per year1,2. -
SUPPLEMENTARY NOTE Co-Activation of GR and NFKB
SUPPLEMENTARY NOTE Co-activation of GR and NFKB alters the repertoire of their binding sites and target genes. Nagesha A.S. Rao1*, Melysia T. McCalman1,*, Panagiotis Moulos2,4, Kees-Jan Francoijs1, 2 2 3 3,5 Aristotelis Chatziioannou , Fragiskos N. Kolisis , Michael N. Alexis , Dimitra J. Mitsiou and 1,5 Hendrik G. Stunnenberg 1Department of Molecular Biology, Radboud University Nijmegen, the Netherlands 2Metabolic Engineering and Bioinformatics Group, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Athens, Greece 3Molecular Endocrinology Programme, Institute of Biological Research and Biotechnology, National Hellenic Research Foundation, Greece 4These authors contributed equally to this work 5 Corresponding authors E-MAIL: [email protected] ; TEL: +31-24-3610524; FAX: +31-24-3610520 E-MAIL: [email protected] ; TEL: +30-210-7273741; FAX: +30-210-7273677 Running title: Global GR and NFKB crosstalk Keywords: GR, p65, genome-wide, binding sites, crosstalk SUPPLEMENTARY FIGURES/FIGURE LEGENDS AND SUPPLEMENTARY TABLES 1 Rao118042_Supplementary Fig. 1 A Primary transcript Mature mRNA TNF/DMSO TNF/DMSO 8 12 r=0.74, p< 0.001 r=0.61, p< 0.001 ) 2 ) 10 2 6 8 4 6 4 2 2 0 Fold change (mRNA) (log Fold change (primRNA) (log 0 −2 −2 −2 0 2 4 −2 0 2 4 Fold change (RNAPII) (log2) Fold change (RNAPII) (log2) B chr5: chrX: 56 _ 104 _ DMSO DMSO 1 _ 1 _ 56 _ 104 _ TA TA 1 _ 1 _ 56 _ 104 _ TNF TNF Cluster 1 1 _ Cluster 2 1 _ 56 _ 104 _ TA+TNF TA+TNF 1 _ 1 _ CCNB1 TSC22D3 chr20: chr17: 25 _ 33 _ DMSO DMSO 1 _ 1 _ 25 _ 33 _ TA TA 1 _ 1 _ 25 _ 33 _ TNF TNF Cluster 3 1 _ Cluster 4 1 _ 25 _ 33 _ TA+TNF TA+TNF 1 _ 1 _ GPCPD1 CCL2 chr6: chr22: 77 _ 35 _ DMSO DMSO 1 _ 77 _ 1 _ 35 _ TA TA 1 _ 1 _ 77 _ 35 _ TNF Cluster 5 Cluster 6 TNF 1 _ 1 _ 77 _ 35 _ TA+TNF TA+TNF 1 _ 1 _ TNFAIP3 DGCR6 2 Supplementary Figure 1. -
"Description"" ""Generatio"
TABLE S4 "ID ""Description"" ""GeneRatio"" ""BgRatio"" ""pvalue"" ""p.adjust"" ""qvalue"" ""geneID"" ""Count""" "GO:0003712 ""GO:0003712"" ""transcription coregulator activity"" ""84/1859"" ""454/22744"" 9.49597175224444e-13 9.80933882006851e-10 8.20651874588704e-10 ""Ncoa2/Zfp451/Dhx9/Hnrnpu/Cited2/Ncoa7/Ccar1/ Sirt1/Arid5b/Sirt6/Med1/Rara/Atxn7l3/Ddx5/Wbp2/Hdac9/Zmynd11/Cdyl/ Mier3/Sfmbt1/Gata4/Med4/Basp1/Zfpm2/Zhx2/Ddx17/Mkl2/Hes1/Nrip1/Usp16/ Elob/Rrp1b/Rxrb/Kat2b/Mta3/Hsbp1l1/Tle4/Sfr1/Eid1/Cops2/Sox12/Raly/ Ncoa6/Rbm39/Lpin3/Skil/Jade1/Maml3/Supt20/Med12l/Hdgf/Glmp/Nfib/Jun/ Pex14/Rere/Psmd9/Ncor2/Trim24/Ruvbl1/Rybp/Bhlhe40/Atf7ip/Ube3a/Mef2a/ Nrg1/Rbpms/Cnot7/Sin3b/Pou4f2/Pkn1/Cdyl2/Taf5l/Irf2bp2/Birc2/Yap1/ Skor1/Tfdp2/Rad54l2/Ctnnb1/Limd1/Med14/Rap2c/Tbl1x"" 84" "GO:0003779 ""GO:0003779"" ""actin binding"" ""65/1859"" ""414/22744"" 2.57546466939442e-07 8.86818334494813e-05 7.41914559148359e-05 ""Actr3/Cxcr4/Hnrnpu/Enah/Utrn/Epb41l2/Marcks/Ctnna3/Eef2/Pawr/ Ccdc88a/Anxa6/Gas7/Lasp1/Tns4/Syne2/Sipa1l1/Syne3/Phactr1/Enc1/Pxk/ Vcl/Ang/Myo10/Mtss1/Triobp/Mkl2/Afdn/Daam2/Svil/Ctnna1/Synpo/Myo5b/ Nrap/Ablim1/Shtn1/Fmnl2/Itprid2/Ino80/Pfn2/Myoz2/Pdlim5/Cap1/Macf1/ Epb41/Wasf2/Myom3/Ywhah/Coro1c/Ssh1/Hip1/Ppp1r9a/Wasl/Ctnna2/Mical3/ Eps8/Tlnrd1/Myom2/Klhl2/Sntb2/Spire2/Coro2b/Clasp2/Hdac6/Diaph2"" 65" "GO:0046332 ""GO:0046332"" ""SMAD binding"" ""22/1859"" ""84/22744"" 6.87941766027971e-07 0.000177660961076723 0.000148631628923412 ""Bmpr2/Cited2/Usp15/Ddx5/Axin2/Ppm1a/Yy1/Gata4/Tgif1/Ldlrad4/Smad7/ Acvr2a/Pmepa1/Skil/Trim33/Jun/Mef2a/Ipo7/Skor1/Rnf111/Tcf12/Ctnnb1"" -
Retinoblastoma Binding Protein 4 Maintains Cycling Neural Stem Cells and Prevents DNA Damage and Tp53-Dependent Apoptosis in Rb1 Mutant Neural Progenitors Laura E
Genetics, Development and Cell Biology Genetics, Development and Cell Biology Publications 9-25-2018 Retinoblastoma binding protein 4 maintains cycling neural stem cells and prevents DNA damage and Tp53-dependent apoptosis in rb1 mutant neural progenitors Laura E. Schultz-Rogers Iowa State University Maira P. Almeida Iowa State University, [email protected] Wesley a. Wierson Iowa State University Marcel Kool Hopp Children’s Cancer Center at the NCT (KiTZ) MFoallourwa MthicsGr andail additional works at: https://lib.dr.iastate.edu/gdcb_las_pubs IowaP Satrate of U ntheiversitCya,nc mmcgrer Baiiol@ilogasyt aCteommon.edu s, and the Genetics and Genomics Commons The ompc lete bibliographic information for this item can be found at https://lib.dr.iastate.edu/ gdcb_las_pubs/208. For information on how to cite this item, please visit http://lib.dr.iastate.edu/ howtocite.html. This Article is brought to you for free and open access by the Genetics, Development and Cell Biology at Iowa State University Digital Repository. It has been accepted for inclusion in Genetics, Development and Cell Biology Publications by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Retinoblastoma binding protein 4 maintains cycling neural stem cells and prevents DNA damage and Tp53-dependent apoptosis in rb1 mutant neural progenitors Abstract Retinoblastoma-binding protein 4 (Rbbp4) is a WDR adaptor protein for multiple chromatin remodelers implicated in human oncogenesis. Here we show Rbbp4 is overexpressed in zebrafish rb1-embryonal brain tumors and is upregulated across the spectrum of human embryonal and glial brain cancers. We demonstrate in vivo Rbbp4 is essential for zebrafish neurogenesis and has distinct roles in neural stem and progenitor cells.